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- Tasks: Develop and validate credit risk models while leading a team in a dynamic environment.
- Company: Join a well-known organisation experiencing exciting growth and expansion.
- Benefits: Competitive salary up to £55K with opportunities for professional development.
- Why this job: Make a real impact in financial risk management and work with senior management.
- Qualifications: 4+ years in risk or analytics, strong leadership skills, and technical expertise required.
- Other info: Remote work options may be available; send your CV to nmohamed@merje.com.
The predicted salary is between 44000 - 66000 £ per year.
A great opportunity to join a well known organisation who are passionate about what they do and are at an exciting time of growth and expansion.
Key Responsibilities:
- Developing credit risk and pricing models, used for regulatory and business purposes.
- Validating and challenging these models on areas such as model design, model performance and model implementation.
- Stress testing exercises, ranging from operational execution to model development and validation.
- Processing large credit risk datasets and assessing or improving data quality.
- Integration of ESG across data, models (IRB, IFRS 9, stress testing) and risk processes.
- Interpretation and implementation of regulatory requirements and supervisory expectations.
- Remediation of supervisory findings (ECB/DNB).
- Ad-hoc assistance on business development activities, e.g. client events / roundtables, client meetings, workshops, pitching, drafting proposals and creating marketing material.
- Presenting and discussing results with senior management.
Key Requirements:
- You bring 4+ years' experience in risk, analytics or data science for banks, obtained by working for a bank, consulting firm or regulatory body.
- You bring significant experience leading a team and delivering projects while providing guidance and leadership to colleagues.
- You have deep technical experience on financial risk management and hands on experience in development, validation and implementation of IRB, IFRS 9 or Stress Testing models.
- You are experienced with data processing and analysing (large) datasets using Python, SAS, SQL or R.
- You have detailed knowledge of UK or European (prudential) regulation and supervision at banks.
- You are a strong communicator both verbally and written, with the ability to break down complex topics into simple solutions and ideas.
- You have a good command of the English language.
- You are passionate about the business impact of analysis, driven by continuous improvement and attention to detail.
Send your CV to nmohamed@merje.com
Contact Detail:
MERJE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Credit Risk Modelling Analyst
✨Tip Number 1
Network with professionals in the credit risk and financial services sectors. Attend industry events, webinars, or local meetups to connect with potential colleagues or mentors who can provide insights into the role and the company culture.
✨Tip Number 2
Familiarise yourself with the latest trends and regulations in credit risk modelling, particularly those relevant to the UK and European markets. This knowledge will not only help you in interviews but also demonstrate your commitment to staying updated in the field.
✨Tip Number 3
Prepare to discuss specific projects where you've developed or validated credit risk models. Be ready to explain your thought process, the challenges you faced, and how you overcame them, as this will showcase your hands-on experience.
✨Tip Number 4
Practice your communication skills by explaining complex modelling concepts in simple terms. This will be crucial when presenting to senior management, so consider doing mock presentations to friends or colleagues for feedback.
We think you need these skills to ace Senior Credit Risk Modelling Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in credit risk modelling, analytics, and data science. Emphasise your leadership skills and any specific projects you've led that align with the job requirements.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for credit risk analysis and your understanding of regulatory requirements. Mention specific experiences that demonstrate your ability to develop and validate models, as well as your communication skills.
Highlight Technical Skills: Clearly outline your technical expertise in tools like Python, SAS, SQL, or R. Provide examples of how you've used these skills in previous roles to process large datasets or improve data quality.
Showcase Your Communication Skills: Since strong communication is key for this role, include examples in your application where you've successfully presented complex information to senior management or collaborated with teams on projects.
How to prepare for a job interview at MERJE
✨Showcase Your Technical Skills
Make sure to highlight your experience with Python, SAS, SQL, or R during the interview. Be prepared to discuss specific projects where you developed, validated, or implemented credit risk models, as this will demonstrate your hands-on expertise.
✨Understand Regulatory Requirements
Familiarise yourself with UK and European prudential regulations relevant to credit risk. Being able to discuss how these regulations impact model development and validation will show that you are well-versed in the compliance aspects of the role.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills, especially in stress testing and data quality improvement. Think of examples from your past experiences where you successfully tackled similar challenges and be ready to explain your thought process.
✨Communicate Clearly and Effectively
Since strong communication is key for this role, practice breaking down complex topics into simple terms. Prepare to present your ideas clearly, as you may need to discuss your findings with senior management or non-technical stakeholders.
